interpolation: Interpolation based on movement steps for all individuals

In BastilleRousseau/moveNT: An R package for the analysis of movement data using network theory

Interpolation based on movement steps for all individuals

Description

Use movement steps to linearly interpolate raster produced by loop. User can select if the mean or max is taken when multiple steps overlap in a single pixel. Function need to be applied following the loop function. This process is very slow.

Usage

interpolation(traj, ls, wei = mean, deg = mean, bet = max,
  spe = mean, dt = dot)

Arguments

traj	An object produce by the function adj2stack
ls	An object produced by the loop
wei	Whether mean or max should be used for weight (default = mean)
deg	Whether mean or max should be used for degree (default = mean)
bet	Whether mean or max should be used for betweeness (default = max)
spe	Whether mean or max should be used for speed (default = mean)
dt	Whether mean, max, or dot product should be used for turning angle (default = dot)

Value

A list of object containing a raster stack object for each individual

Examples

data(puechabonsp)
locs <- puechabonsp$relocs
xy <- coordinates(locs)
df <- as.data.frame(locs)
da <- as.character(df$Date)
da <- as.POSIXct(strptime(as.character(df$Date),"%y%m%d", tz="Europe/Paris"))
litr <- as.ltraj(xy, da, id = id)
out1<-loop(litr)
out2<-interpolation(litr, out1)

BastilleRousseau/moveNT documentation built on Aug. 26, 2023, 5:54 a.m.